Our newly digital world is generating an almost unimaginable amount of data about all of us. Such a vast amount of data is useless without plans and strategies that are designed to cope with its size and complexity, and which enable organisations to leverage the information to create value. This book is a refreshingly practical,…
Category: Big Data Analytics
We’ve handpicked some of our favorite recommended Big Data Analytics self-learning guides and reference books below.
Big Data Analytics in Cybersecurity (Data Analytics Applications)
Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to…
Big Data and Analytics: Strategic and Organizational Impacts
This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also attributable to empowerment of…
Business Intelligence Strategy and Big Data Analytics: A General Management Perspective
Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts – people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective,…
Demystifying Big Data and Machine Learning for Healthcare (Himss Book)
Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One…
Cognitive Computing and Big Data Analytics
A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing’s underlying technologies, from knowledge representation techniques and natural language…
Analytics in a Big Data World: The Essential Guide to Data Science and its Applications (Wiley and SAS Business Series)
The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create…
Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself
With Microsoft HDInsight, business professionals and data analysts can rapidly leverage the power of Hadoop on a flexible, scalable cloud-based platform, using Microsoft’s accessible business intelligence, visualization, and productivity tools. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you’ll need to provision, configure, monitor, troubleshoot,…
Harness Oil and Gas Big Data with Analytics: Optimize Exploration and Production with Data-Driven Models (Wiley and SAS Business Series)
Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for…
Numsense! Data Science for the Layman: No Math Added
Used in Stanford’s CS102 Big Data (Spring 2017) course. Want to get started on data science? Our promise: no math added. This book has been written in layman’s terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example…
